Data Science Associate - Lifestyle Analytics at JPMC Candidate Experience page

, , United States -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Product Analytics, Data Science, SQL, Python, R, Cloud Data Warehouses, Snowflake, BigQuery, BI Tools, Data Visualization, Tableau, Looker, Statistical Analysis, Experiment Design, Predictive Modeling, AI Techniques

Industry

Financial Services

Description

Join our innovative Data & Analytics team as a Data Science Associate – Product Analyst, where you’ll harness the power of advanced analytics and AI to shape product strategy, drive user engagement, and deliver impactful insights that fuel the growth of Chase’s Lifestyle, Experiences, and Content organization. As a Data Science Associate - Product Analyst, you’ll leverage cutting-edge analytics and AI to drive product growth, user engagement, and retention; collaborate with talented colleagues and business partners to deliver impactful insights and innovative solutions; and grow your career in a fast-paced environment that values technical expertise and creative problem-solving. You'll join a team that empowers data-driven decision making and continuous learning to help shape the future of Chase's Lifestyle, Experiences, and Content organization. You will use advanced analytics, machine learning, data visualizations, and AI techniques to perform in-depth analysis, create comprehensive reports, and deliver actionable insights to support our Product team’s goals and optimize user experience strategies. This is a unique opportunity to use your expertise to help drive user growth, engagement, and retention and make a significant impact on our product. You will work with digital analytics tools, BI platforms, and cloud data warehouses, applying your technical skills to solve business challenges. You will collaborate with cross-functional teams to define objectives and enhance data capabilities. The role offers opportunities to educate business partners on analytics best practices and empower them with self-service tools. Your contributions will influence stakeholders at all levels and help foster a data-driven culture. Job responsibilities Leverage advanced analytics, machine learning, and AI techniques to analyze large datasets, uncover trends, and derive insights for the business Design, execute, and measure A/B and multivariate experiments with statistical rigor Develop, validate, and deploy predictive models and AI-powered solutions to optimize product strategies Create compelling data visualizations, dashboards, and presentations to communicate findings Collaborate with cross-functional teams to define objectives, metrics, and data requirements Partner with engineering to enhance data capabilities and infrastructure Educate and empower business partners on analytics best practices and self-service tools Stay current with industry trends in data science, AI, and analytics Recommend innovative solutions to business challenges Deliver actionable insights to support product growth, user engagement, and retention Communicate complex analytical and AI concepts clearly to technical and non-technical audiences Required qualifications, capabilities, and skills 1+ years of experience in data analytics, product analytics, or data science roles Bachelor’s degree in a quantitative field Proficiency in SQL and advanced analytics tools (Python or R) Hands-on experience with cloud data warehouses (Snowflake, BigQuery) Experience with BI tools and data visualization (Tableau, Looker) Strong foundation in statistical analysis, experiment design, and measurement Proven ability to communicate complex analytical concepts clearly Experience supporting product, marketing, or digital teams Motivated team player with a passion for innovation and continuous learning Comfortable learning new platforms and technologies Preferred qualifications, capabilities, and skills Master’s degree or higher in a quantitative field Experience with machine learning and AI frameworks Ability to develop and deploy predictive models and AI-powered solutions Strong product sense and understanding of user engagement strategies Experience creating dashboards for diverse audiences of technical and non-technical stakeholders Ability to educate and influence business partners on analytics best practices Experience driving a data-driven culture in a fast-paced organization

Responsibilities

The Data Science Associate will leverage advanced analytics and AI techniques to analyze large datasets and deliver actionable insights to support product growth and user engagement. They will collaborate with cross-functional teams to define objectives and enhance data capabilities.